An adaptive-tabu GA for registration of CT and surface laser scan

Jiann Der Lee*, Jau Hua Huang, Chung Hsien Huang, Li Chang Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

An adaptive-tabu GA (Genetic Algorithm) method Is proposed to Improve some traditional GA methods in the registration of computer tomography (CT) and surface laser scan. In this method, the adaptive memory structure and search strategy of Tabu Search (TS) with the modified chromosome crossover and adaptive mutation are proposed to increase the convergence speed and accuracy of the fitness function. This registration method can be used on non-fiducial stereo-tactic brain surgeries to assist surgeons to diagnose and treat brain diseases.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages3467-3470
Number of pages4
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 01 09 200504 09 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period01/09/0504/09/05

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